--- title: 'Senior Applied Scientist, Product at Moloco' canonical: 'https://feeny.ai/job/senior-applied-scientist-product-moloco-menlo-park-4z9gv3j138xp' type: 'job' last_seen: '2026-11-04' --- # Senior Applied Scientist, Product at Moloco - **Company:** Moloco - **Location:** Menlo Park, CA / Seattle, WA - **Compensation:** $160k–$235k - **Posted:** 2026-10-30 - **Last confirmed live:** 2026-11-04 - **Apply:** https://job-boards.greenhouse.io/moloco/jobs/8080231003 ## Job description About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. [Moloco Ads](https://www.moloco.com/moloco-ads) is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. [Moloco Commerce Media](https://www.moloco.com/moloco-commerce-media) is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture), the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. The impact you'll be contributing to Moloco: Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Applied Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, and provide the data driven insight and scientific solutions. Here’s what you’ll be working on: Our team is responsible for: - Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers. - Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers - Evaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component. Here’s what you’ll be working on: - Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently. - Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects. - Complete task as part of larger projects to complete deep unbiased analyses. - Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers. - Analyze massive, high-dimensional datasets from ad auctions and user interactions to uncover insights, define success metrics, and guide modeling and product decisions. - Collaborate closely with product, engineering, and other scientists to iterate on experiments, define roadmaps, and translate business requirements into scientifically sound solutions. - Improve the reliability, latency, and efficiency of online prediction and decision systems by applying rigorous experimentation, monitoring, and continual model refinement. Basic Qualifications: - Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems - At least 4 years of engineering or applied science experience - Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports - Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science - Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company ## Compensation & Benefits U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO). The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans. The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location. - Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area - Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami - Region C: All other U.S. locations Salary Ranges: Region A: $188,000—$235,000 USD Region B: $169,200—$211,500 USD Region C: $159,800—$199,750 USD Supporting Your Best Work and Your Best Life: Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region. Moloco Values: - Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. - Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. - Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. - Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: - [Moloco Company Blog](https://www.moloco.com/blogs) - [Moloco Leadership](https://www.moloco.com/company/leadership) - [Moloco Newsroom](https://www.moloco.com/newsroom) AI Use in Interviews Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our [AI Use in Interviews Policy](https://www.moloco.cloud/hubfs/careers/AI%20Use%20in%20Interviews.pdf) before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our [Candidate Privacy Notice](https://www.moloco.cloud/hubfs/careers/Candidate%20Privacy%20Notice.pdf). ## About Moloco ## Company Overview - **One-liner**: Moloco builds AI-powered performance advertising solutions that enable businesses of all sizes to grow and monetize through operational machine learning. - **Entity Type**: Private (valued over $2 billion) - **Headquarters**: Menlo Park, California, USA (Silicon Valley) - **Founded**: 2013 - **Founders**: Ikkjin Ahn (CEO) ## Core Business - Primary industry/industries: AI-powered advertising technology (AdTech), Machine Learning, Performance Marketing, Commerce Media, Streaming Monetization - Target customers: B2B — performance marketers, online marketplaces and retailers, streaming and CTV platforms - Mission or purpose statement: "Empower businesses of all sizes to grow through operational machine learning." Their vision is to be "the scaling engine for the Internet economy." ## Products & Services - **Moloco Ads**: A flagship performance advertising platform that helps marketers acquire and re-engage users at scale across the world's largest independent app ecosystem (2+ billion users across 3 million apps). Uses advanced AI optimization for strong ROI and incrementality. - **Moloco Commerce Media**: An enterprise software solution enabling online marketplaces and retailers to build their own ML-powered advertising business, turning every retail impression into revenue. - **Moloco Streaming Monetization**: The industry's first AI-powered full-funnel ad stack designed for large streaming and CTV providers, enabling them to offer performance marketing and full-funnel advertising solutions beyond traditional brand advertising. ## Market Standing - **Valuation/Market Cap**: Valued over $2 billion (backed by Fidelity Management & Research) - **Key Metric Total Funding**: The company is fully funded and does not need additional capital; it has been profitable for five years, self-funding growth with zero debt. Key metrics include over $200 million in annual revenue (growing more than 5x since 2020) and over $2 billion in annualized ad spend. - **Notable Investors/Partners**: Investors include Fidelity Management & Research. Customers include Tubi, Wayfair, Chime, Pinterest, Scopely, King, Snapchat, Musinsa, and Olive Young. - **Growth Signals**: Rapidly scaled from $1 million to $100 million in under five years, now exceeding $200 million in revenue. Less than 1% penetration of total addressable market. Recognized as a Deloitte Fast 500 company, Google Cloud Customer of the Year, one of the Financial Times Fastest Growing Companies, and one of Business Insider’s Top 16 Hottest Ad Tech Companies. ## Competitive Advantages - **Planet-scale AI**: Founded by machine learning pioneers who built some of the most successful ad systems at Google (including YouTube's monetization engine and Android Data team). - **Financial strength**: Profitable for five years with zero debt, allowing heavy investment in R&D while maintaining startup agility. - **Proprietary ML technology**: Uses operational machine learning to solve advertising challenges at scale, with a unique ability to leverage first-party data from apps and platforms. - **Independence**: Not tied to any major platform or walled garden, enabling them to work across the independent app ecosystem. ## Strategic Focus - Expanding into streaming and CTV monetization with a first-of-its-kind full-funnel AI ad stack - Growing the Commerce Media business to enable more retailers and marketplaces to build their own ad businesses - Continuing to scale the core Ads business with low penetration (less than 1%) of a massive addressable market - Investing heavily in innovation while maintaining profitability ## Why Work Here - **Culture**: Emphasizes collaboration, humility, and empowerment. Values include "Lead With Humility," "Go Further Together," "Create Real Value," and "Uncapped Growth Mindset." - **Remote/Hybrid/Office Policy**: Offers remote offices globally, with physical hubs in Menlo Park (HQ), San Francisco, New York, Seattle, Los Angeles, London, Tel Aviv, Seoul, Tokyo, Beijing, Singapore, and Gurgaon (India). - **Notable Perks**: - 100% health insurance coverage for employees (plus dental, vision, and life insurance for family) - Unlimited paid time off (flexible vacation policy) - Paid parental leave for primary and secondary caregivers - $2,500 annual Learning & Development stipend - Daily lunch provided, healthy snacks and beverages - Home office setup, phone, internet, and transportation reimbursements - Equity and generous retirement benefits - Memberships to Calm, Headspace, Spring Health, plus fitness and health reimbursements - **Engineering Culture**: Work alongside engineers who built some of the world's largest ML systems at Google, Amazon, YouTube, and Meta. High-impact, fast-paced environment with a focus on real customer results. - **Team**: Over 700 employees globally, with a strong commitment to diversity, inclusion, and belonging. - **Financial Stability**: Profitable for five years, no debt, fully funded — offering job security rare for a growth-stage startup. ## Sources 1. [moloco.com/careers](https://www.moloco.com/careers) 2. [moloco.com/about](https://www.moloco.com/about) 3. [moloco.com](https://www.moloco.com/) 4. [moloco.com/leadership](https://www.moloco.com/leadership) 5. [linkedin.com/company/moloco](https://www.linkedin.com/company/moloco) ## Other roles at Moloco - [Director of Product Management, Advertiser Platform](https://feeny.ai/job/director-of-product-management-advertiser-platform-moloco-menlo-park-6dq5px67wa37) — Menlo Park, CA / New York, NY / Seattle, WA - [Director of Product Management, CTV](https://feeny.ai/job/director-of-product-management-ctv-moloco-menlo-park-fhzdkyg5rv2a) — Menlo Park, CA / Seattle, WA - [Senior Growth Manager](https://feeny.ai/job/senior-growth-manager-moloco-gurugram-haryana-4r571jnaay13) — Gurugram Haryana, India - [Manager, Business Analytics (Revenue Forecasting)](https://feeny.ai/job/manager-business-analytics-revenue-forecasting-moloco-menlo-park-6pwm1ws625jz) — Menlo Park, CA - [Senior Growth Director (Commercial Lead)](https://feeny.ai/job/senior-growth-director-commercial-lead-moloco-london-ks4qk2j7tvyj) — London, United Kingdom - [Senior New Business Manager](https://feeny.ai/job/senior-new-business-manager-moloco-beijing-yfvnp3ktyq6m) — Beijing, China - [Machine Learning Engineer Intern (3-month Internship)](https://feeny.ai/job/machine-learning-engineer-intern-3-month-internship-moloco-seoul-ejv8ga62tfpk) — Seoul, South Korea - [Group Product Manager, IAP Advertising Performance](https://feeny.ai/job/group-product-manager-iap-advertising-performance-moloco-menlo-park-dw2p83ss4ex1) — Menlo Park, CA / New York, NY / Seattle, WA - [Staff Software Engineer - AI Applications](https://feeny.ai/job/staff-software-engineer-ai-applications-moloco-menlo-park-adzb4h6nmv3f) — Menlo Park, CA / Seattle, WA - [Global Product Activation Lead (gPAL)](https://feeny.ai/job/global-product-activation-lead-gpal-moloco-menlo-park-01jkh65byc4y) — Menlo Park, CA / New York, NY / San Francisco, CA / Seattle, WA